Open-loop narrowband magnetic particle imaging based on mixed-frequency harmonic magnetization response.

IF 2.7 Q3 ENGINEERING, BIOMEDICAL Frontiers in medical technology Pub Date : 2024-10-23 eCollection Date: 2024-01-01 DOI:10.3389/fmedt.2024.1464780
Hongli Yu, Ping Huang, Xiting Peng, Zheyan Wang, Zhichuan Qiu, Kewen Li, Tianshu Li, Zhiyao Liu, Hao Cui, Shi Bai
{"title":"Open-loop narrowband magnetic particle imaging based on mixed-frequency harmonic magnetization response.","authors":"Hongli Yu, Ping Huang, Xiting Peng, Zheyan Wang, Zhichuan Qiu, Kewen Li, Tianshu Li, Zhiyao Liu, Hao Cui, Shi Bai","doi":"10.3389/fmedt.2024.1464780","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Magnetic particle imaging (MPI), a radiation-free, dynamic, and targeted imaging technique, has gained significant traction in both research and clinical settings worldwide. Signal-to-noise ratio (SNR) is a crucial factor influencing MPI image quality and detection sensitivity, and it is affected by ambient noise, system thermal noise, and the magnetization response of superparamagnetic nanoparticles. Therefore to address the high amplitude system and inherent thermal noise present in conventional MPI systems is essential to improve detection sensitivity and imaging resolution.</p><p><strong>Method: </strong>This study introduces a novel open-loop, narrow-band MPI signal acquisition system based on mixed-frequency harmonic magnetization response. Allowing superparamagnetic nanoparticles to be excited by low frequency, high amplitude magnetic fields and high frequency, low amplitude magnetic fields, the excitation coil generates a mixed excitation magnetic field at a mixed frequency of 8.664 kHz (<i>f</i> <sub><i>H</i></sub>  + 2<i>f</i> <sub><i>L</i></sub> ), and the tracer of superparamagnetic nanoparticles can generate a locatable superparamagnetic magnetization signal with rich harmonic components in the mixed excitation magnetic field and positioning magnetic field. The third harmonic signal is detected by a Gradiometer coil with high signal-to-noise ratio, and the voltage cloud image is formed.</p><p><strong>Result: </strong>The experimental results show that the external noise caused by the excitation coil can be effectively reduced from 12 to about 1.5 μV in the imaging area of 30 mm × 30 mm, which improves the stability of the detection signal of the Gradiometer coil, realizes the detection of high SNR, and makes the detection sensitivity reach 10 μg Fe. By mixing excitation, the total intensity of the excitation field is reduced, resulting in a slight improvement of the resolution under the same gradient field, and the spatial resolution of the image reconstruction is increased from 2 mm under the single frequency excitation (20.7 kHz) in the previous experiment to 1.5 mm under the mixed excitation (8.664 kHz).</p><p><strong>Conclusions: </strong>These experimental results highlight the effectiveness of the proposed open-loop narrowband MPI technique in improving signal detection sensitivity, achieving high signal-to-noise ratio detection and improving the quality of reconstructed images by changing the excitation magnetic field frequency of the excitation coil, providing novel design ideas and technical pathways for future MPI systems.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1464780"},"PeriodicalIF":2.7000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11537903/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in medical technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fmedt.2024.1464780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Magnetic particle imaging (MPI), a radiation-free, dynamic, and targeted imaging technique, has gained significant traction in both research and clinical settings worldwide. Signal-to-noise ratio (SNR) is a crucial factor influencing MPI image quality and detection sensitivity, and it is affected by ambient noise, system thermal noise, and the magnetization response of superparamagnetic nanoparticles. Therefore to address the high amplitude system and inherent thermal noise present in conventional MPI systems is essential to improve detection sensitivity and imaging resolution.

Method: This study introduces a novel open-loop, narrow-band MPI signal acquisition system based on mixed-frequency harmonic magnetization response. Allowing superparamagnetic nanoparticles to be excited by low frequency, high amplitude magnetic fields and high frequency, low amplitude magnetic fields, the excitation coil generates a mixed excitation magnetic field at a mixed frequency of 8.664 kHz (f H  + 2f L ), and the tracer of superparamagnetic nanoparticles can generate a locatable superparamagnetic magnetization signal with rich harmonic components in the mixed excitation magnetic field and positioning magnetic field. The third harmonic signal is detected by a Gradiometer coil with high signal-to-noise ratio, and the voltage cloud image is formed.

Result: The experimental results show that the external noise caused by the excitation coil can be effectively reduced from 12 to about 1.5 μV in the imaging area of 30 mm × 30 mm, which improves the stability of the detection signal of the Gradiometer coil, realizes the detection of high SNR, and makes the detection sensitivity reach 10 μg Fe. By mixing excitation, the total intensity of the excitation field is reduced, resulting in a slight improvement of the resolution under the same gradient field, and the spatial resolution of the image reconstruction is increased from 2 mm under the single frequency excitation (20.7 kHz) in the previous experiment to 1.5 mm under the mixed excitation (8.664 kHz).

Conclusions: These experimental results highlight the effectiveness of the proposed open-loop narrowband MPI technique in improving signal detection sensitivity, achieving high signal-to-noise ratio detection and improving the quality of reconstructed images by changing the excitation magnetic field frequency of the excitation coil, providing novel design ideas and technical pathways for future MPI systems.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于混合频率谐波磁化响应的开环窄带磁粉成像。
简介:磁粉成像(MPI)是一种无辐射、动态和靶向成像技术,在全球研究和临床领域都获得了极大的发展。信噪比(SNR)是影响 MPI 图像质量和检测灵敏度的关键因素,它受到环境噪声、系统热噪声和超顺磁性纳米粒子磁化响应的影响。因此,要提高检测灵敏度和成像分辨率,就必须解决传统 MPI 系统中存在的高振幅系统噪声和固有热噪声问题:本研究介绍了一种基于混频谐波磁化响应的新型开环窄带 MPI 信号采集系统。让超顺磁性纳米粒子受到低频高幅磁场和高频低幅磁场的激励,激励线圈产生混合频率为 8.664 kHz(f H + 2f L)的混合激励磁场,超顺磁性纳米粒子示踪剂可在混合激励磁场和定位磁场中产生具有丰富谐波成分的可定位超顺磁性磁化信号。通过高信噪比的梯度仪线圈检测三次谐波信号,形成电压云图:实验结果表明,在 30 mm × 30 mm 的成像区域内,励磁线圈引起的外部噪声可从 12 μV 有效降低到 1.5 μV 左右,提高了 Gradiometer 线圈检测信号的稳定性,实现了高信噪比检测,使检测灵敏度达到 10 μg Fe。通过混合激励,降低了激励场的总强度,使相同梯度场下的分辨率略有提高,图像重建的空间分辨率由之前实验中单一频率激励(20.7 kHz)下的 2 mm 提高到混合激励(8.664 kHz)下的 1.5 mm:这些实验结果凸显了所提出的开环窄带 MPI 技术在通过改变激励线圈的激励磁场频率来提高信号检测灵敏度、实现高信噪比检测和改善重建图像质量方面的有效性,为未来的 MPI 系统提供了新颖的设计思路和技术途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.70
自引率
0.00%
发文量
0
审稿时长
13 weeks
期刊最新文献
Open-loop narrowband magnetic particle imaging based on mixed-frequency harmonic magnetization response. A prototype photoplethysmography-based cuffless device shows promising results in tracking changes in blood pressure. Motion artifact variability in biomagnetic wearable devices. Advancements in sarcopenia diagnosis: from imaging techniques to non-radiation assessments. Towards non-invasive imaging through spinal-cord generated magnetic fields.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1